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{
"name": "l1-scalability-intelligence",
"description": "",
"tags": [
"scalability",
"l1",
"parallel-execution",
"sharding",
"data-availability",
"hyperliquid"
],
"category": "research",
"created": "2026-06-22T19:37:46.250Z",
"updated": "2026-06-22T19:37:46.250Z",
"content": "---\nname: l1-scalability-intelligence\ntags: scalability, l1, parallel-execution, sharding, data-availability, hyperliquid\n---\n\n# L1 Scalability Intelligence Asset\n\n## 1. Top 3 Current Breakthroughs (2024-2026)\n\n### A. Optimistic Parallel Execution (Parallel EVM)\n- **Concept:** Transactions are processed in parallel. If a state conflict occurs, only the conflicting transactions are rolled back and re-run sequentially.\n- **Implementations:** Monad, Sei v2.\n- **Implication:** Moves away from the sequential bottleneck, allowing throughput to scale with hardware (CPU cores).\n\n### B. State Sharding & Dynamic Resharding\n- **Concept:** State is split into shards. Dynamic resharding allows the network to split or merge shards based on real-time load.\n- **Implementations:** Near, Ethereum (Danksharding).\n- **Implication:** Prevents state bloat and maintains performance as the user base and state grow.\n\n### C. Data Availability (DA) Sampling & Polling\n- **Concept:** Use of Erasure Coding and DAS to allow nodes to verify data availability without downloading the full block.\n- **Implementations:** Celestia, Avail, EigenDA.\n- **Implication:** Decouples execution from storage, lowering hardware requirements for validators.\n\n## 2. Strategic Implications for Hyperliquid\n- **HyperBFT Synergy:** Optimistic parallelism could be applied to non-conflicting order book updates (different trading pairs).\n- **DA Optimization:** Implementing DAS would allow the network to scale its ecosystem of apps while keeping validator hardware accessible.\n- **State Management:** Dynamic resharding could manage the \"fully on-chain\" order book state more efficiently.\n"
}
|
